---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Review conversation evaluation scores

# Review conversation evaluation scores {#ariaid-title1}

Release version: Brazil  
Updated September 23, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Review auto-evaluation scores for Virtual Agent conversations in AI Control Tower to track conversation quality over time.

## Before you begin

Role required: sn_ai_governance.ai_steward, interaction_admin

## About this task

Compare the average auto-evaluation score with the average human feedback score to check how closely automated ratings match human judgment.

## Procedure

1. Navigate to AllAI Control TowerInsightsServiceNow AIEvaluation.
2. Select the Evaluation tab.
3. In the Select metric list, select a metric and then select Apply.  
   Select User Satisfaction to view the combined score, or select an individual metric, such as Intent Accuracy or Slot Filling.
4. In the Select date range list, select the time period to review.
5. Review the Evaluation score trend chart.
{#mv-review-conversation-evaluation-scores__steps_blp_wfb_tkc}
**Related concepts**   

* [Conversational evaluator](https://www.servicenow.com/docs/b7r4XITd5f5jtP7dYTDYwQ "Conversational evaluator measures the quality of Virtual Agent conversations in AI Control Tower.")  
**Related tasks**   

* [Calculate Virtual Agent cost savings](https://www.servicenow.com/docs/uVjGh1bW2yPbC~RUTdnVfw "Estimate cost savings from Virtual Agent conversations by entering an hourly rate in the Value view of Conversational Evaluator.")

*[\>]: and then